The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
sc-PDB: an Annotated Database of Druggable Binding Sites from the Protein Data Bank
Abstract
The sc-PDB is a collection of 6 415 three-dimensional structures of binding sites found in the Protein Data Bank (PDB). Binding sites were extracted from all high-resolution crystal structures in which a complex between a protein cavity and a small-molecular-weight ligand could be identified. Importantly, ligands are considered from a pharmacological and not a structural point of view. Therefore, solvents, detergents, and most metal ions are not stored in the sc-PDB. Ligands are classified into four main categories: nucleotides (< 4-mer), peptides (< 9-mer), cofactors, and organic compounds. The corresponding binding site is formed by all protein residues (including amino acids, cofactors, and important metal ions) with at least one atom within 6.5 angstroms of any ligand atom. The database was carefully annotated by browsing several protein databases (PDB, UniProt, and GO) and storing, for every sc-PDB entry, the following features: protein name, function, source, domain and mutations, ligand name, and structure. The repository of ligands has also been archived by diversity analysis of molecular scaffolds, and several chemoinformatics descriptors were computed to better understand the chemical space covered by stored ligands. The sc-PDB may be used for several purposes: (i) screening a collection of binding sites for predicting the most likely target(s) of any ligand, (ii) analyzing the molecular similarity between different cavities, and (iii) deriving rules that describe the relationship between ligand pharmacophoric points and active-site properties. The database is periodically updated and accessible on the web at http://bioinfo-pharma.u-strasbg.fr/scPDB/.
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Cites
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
Hopkins, A. L., & Groom, C. R. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd892 · Cited by 3,305
Binding MOAD (Mother Of All Databases)
Hu, L., Benson, M. L., Smith, R. D., Lerner, M. G., & Carlson, H. A. (2005) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20512 · Cited by 328
The Protein Data Bank: unifying the archive
Westbrook, J. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.245 · Cited by 309
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Network pharmacology: curing causal mechanisms instead of treating symptoms
Nogales, C., Mamdouh, Z. M., List, M., Kiel, C., Casas, A. I., & Schmidt, H. H. H. W. (2022) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2021.11.004 · Cited by 1,201
Use of molecular docking computational tools in drug discovery
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Optimizing Fragment and Scaffold Docking by Use of Molecular Interaction Fingerprints
Marcou, G., & Rognan, D. (2007) · Journal of Chemical Information and Modeling · doi:10.1021/ci600342e · Cited by 408
Self-citationBinding MOAD (Mother Of All Databases)
Hu, L., Benson, M. L., Smith, R. D., Lerner, M. G., & Carlson, H. A. (2005) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20512 · Cited by 328
Metadata
- Authors
- Kellenberger, E., Muller, P., Schalon, C., Bret, G., Foata, N., & Rognan, D.
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-01-13
- Volume
- 46
- Issue
- 2
- Pages
- 717-727
- ISSN
- 1549-9596 (ISSN-L)
- 1549-960X
- OpenAlex
- W1979914800
- Cited by
- 201
- References
- 4
- FWCI
- 11.62
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kellenberger, E., Muller, P., Schalon, C., Bret, G., Foata, N., & Rognan, D. (2006). sc-PDB: an Annotated Database of Druggable Binding Sites from the Protein Data Bank. Journal of Chemical Information and Modeling. https://doi.org/10.1021/ci050372x
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